Markup: Document Annotation 记录了 263 月访问量，月度环比增长为 -17.8%，定价为免费。Scale 记录了 616,915 月访问量，增长率为 +12.5%，定价为定价请咨询。
借助 AI 辅助标注，将自由文本变成结构化的可训练数据。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | getmarkup.com | scale.com |
| 定价模式 | 免费 | 定价请咨询 |
| 月访问量 | 263 (263) | 61.69万 (616,915) |
| 月度环比流量变化 | -57 (-17.8%) |
| +6.87万 (+12.5%) |
| 主要市场与份额 | 🇹🇷 土耳其 (100%) | 🇺🇸 美国 (44.2%) |
|---|
| 直接访问 / 月 | 109 | 19.14万 |
|---|
| 用户评分 | 4 | 4.7 |
|---|
| 支持的平台 | 网站 | 网站 |
|---|
借助 AI 辅助标注，将自由文本变成结构化的可训练数据。
对文档和自由文本进行标注，把姓名、实体、关系和字段抽取为整洁的表格或 JSON 输出。
专为 NLP 与机器学习流程打造，导出的数据集无需大量重新格式化即可接入模型训练流水线。
AI 会给出标签和抽取建议，减少重复的手工工作，同时让你对正确性保留最终决定权。
交互式演示让你在正式开展完整项目之前先体验标注流程。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
专项更强简化计算机视觉数据集标注与模型训练，但不太适合通用的 LLM 文本任务。
#1
专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
免费 / 开源提供灵活的开源替代方案，适用于自定义数据标注和人机回环（Human-in-the-loop）标注管道。
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专注于企业级数据标注和训练数据整理，类似于 Scale 的核心标注业务。
提供企业级多模态标注和数据管理工具，但对托管式标注人力的强调较少。
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
专项更强构建、模拟、评估并监控可自我改进的 AI 智能体
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
